gdist.plotdiff | R Documentation |
For a given graph set, gdist.plotdiff
plots the distances between graphs against their distances (or differences) on a set of graph-level measures.
gdist.plotdiff(d, meas, method="manhattan", jitter=TRUE, xlab="Inter-Graph Distance", ylab="Measure Distance", lm.line=FALSE, ...)
d |
A matrix containing the inter-graph distances |
meas |
An n x m matrix containing the graph-level indices; rows of this matrix must correspond to graphs, and columns to indices |
method |
The distance method used by |
jitter |
Should values be jittered prior to display? |
xlab |
A label for the X axis |
ylab |
A label for the Y axis |
lm.line |
Include a least-squares line? |
... |
Additional arguments to |
gdist.plotdiff
works by taking the distances between all graphs on meas
and then plotting these distances against d
for all pairs of graphs (with, optionally, an added least-squares line for reference value). This can be a useful exploratory tool for relating inter-graph distances (e.g., Hamming distances) to differences on other attributes.
None
This function is actually quite generic, and can be used with node-level – or even non-network – data as well.
Carter T. Butts buttsc@uci.edu
Butts, C.T., and Carley, K.M. (2001). “Multivariate Methods for Interstructural Analysis.” CASOS working paper, Carnegie Mellon University.
gdist.plotstats
, gclust.boxstats
, gclust.centralgraph
#Generate some random graphs with varying densities g<-rgraph(10,20,tprob=runif(20,0,1)) #Find the Hamming distances between graphs g.h<-hdist(g) #Plot the relationship between distance and differences in density gdist.plotdiff(g.h,gden(g),lm.line=TRUE)
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